Green Coffee ESG Intelligence

Comparative Analysis of Four Coffee Origins Using Open Data

1 Executive Summary

This report benchmarks four coffee origins (Brazil, Colombia, Peru, Honduras) using open data indicators across:

• Production (FAOSTAT)
• Employment in agriculture (% total employment) (World Bank)
• Rural population growth (%) (World Bank)
• Gross capital formation (% GDP) (World Bank)

The purpose is to generate a transparent ESG-style sourcing signal.

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2 Production

2.1 Production trends

Figure 1: Coffee production evolution (tonnes)

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3 Social Indicators

3.1 Employment in agriculture

Figure 2: Employment in agriculture (% of total employment)

3.2 Rural population growth

Figure 3: Rural population growth (annual %)

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4 Economic Capacity

4.1 Investment (% GDP)

Figure 4: Gross capital formation (% GDP)

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5 ESG Composite Score

5.1 Score table (gt)

Table 1

ESG Composite Score
5-year normalized scoring model
country	production_avg	employment_agri_avg	rural_growth_avg	investment_avg	esg_score
Brazil	3321375.0	8.691919	-1.4814180	17.29360	0.793
Colombia	715892.1	14.843260	0.1945019	18.21881	0.295
Honduras	364126.2	22.689150	0.5651233	22.98046	0.259
Peru	360096.6	26.113601	-1.5766624	20.29532	0.256

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6 Notes & Limitations

• This model is a benchmarking signal, not an ESG certification.
• Indicators are macro-level and do not capture farm-level realities.
• Results depend on data availability and the last 5-year window.

7 Next Steps

• Add environmental indicators (forest loss, emissions, water stress)
• Add governance proxies (rule of law, corruption perception)
• Build a sourcing recommendation layer